CoinMarketCap MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CoinMarketCap as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to CoinMarketCap. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in CoinMarketCap?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About CoinMarketCap MCP Server
Connect your AI to CoinMarketCap, the world's most-referenced crypto price-tracking platform.
LlamaIndex agents combine CoinMarketCap tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Market Rankings — List the top cryptocurrencies by market cap, volume, or price change.
- Price Conversion — Convert between hundreds of cryptocurrencies and dozens of fiat currencies.
- API Usage — Check your API key's remaining credits and usage stats.
The CoinMarketCap MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect CoinMarketCap to LlamaIndex via MCP
Follow these steps to integrate the CoinMarketCap MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from CoinMarketCap
Why Use LlamaIndex with the CoinMarketCap MCP Server
LlamaIndex provides unique advantages when paired with CoinMarketCap through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CoinMarketCap tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CoinMarketCap tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CoinMarketCap, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CoinMarketCap tools were called, what data was returned, and how it influenced the final answer
CoinMarketCap + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CoinMarketCap MCP Server delivers measurable value.
Hybrid search: combine CoinMarketCap real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CoinMarketCap to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying CoinMarketCap for fresh data
Analytical workflows: chain CoinMarketCap queries with LlamaIndex's data connectors to build multi-source analytical reports
CoinMarketCap MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect CoinMarketCap to LlamaIndex via MCP:
get_global_metrics
Retrieve aggregate market data for the entire cryptocurrency market
get_id_map
Retrieve a mapping of symbols/names to unique CMC IDs
get_key_info
Check your API keys usage, remaining credits, and rate limits
get_metadata
Retrieve static metadata for one or more cryptocurrencies (logo, description, etc.)
get_quotes
Retrieve the latest market quotes for one or more cryptocurrencies
list_exchanges
Retrieve a ranked list of all cryptocurrency exchanges
list_listings
Retrieve a paginated list of all active cryptocurrencies with latest market data
price_conversion
Convert an amount of one currency to another using latest market prices
Example Prompts for CoinMarketCap in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with CoinMarketCap immediately.
"Show me the top 10 cryptocurrencies by market cap."
"Convert 1.5 BTC to EUR."
"Get the historical listing data for Dogecoin launched on CoinMarketCap."
Troubleshooting CoinMarketCap MCP Server with LlamaIndex
Common issues when connecting CoinMarketCap to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCoinMarketCap + LlamaIndex FAQ
Common questions about integrating CoinMarketCap MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect CoinMarketCap with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CoinMarketCap to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.